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Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images
(Springer, Cham, 2019-10-21)
Pectoral muscle segmentation is a crucial step in various computer-aided
applications of breast Magnetic Resonance Imaging (MRI). Due to imaging
artifact and homogeneity between the pectoral and breast regions, the ...
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks
(Springer, Cham, 2019-02-14)
The quality control of timber products is vital for the sawmill industry pursuing more efficient production processes. This paper considers the automatic detection of mechanical damages in wooden board surfaces occurred ...
Fine-Grained Wood Species Identification Using Convolutional Neural Networks
(Springer, Cham, 2019-05-12)
This paper considers the wood species identification from images of boards. The identification using only visual features of the surface is a challenging task even for an expert. The task becomes especially difficult when ...
3D Hand Movement Measurement Framework for Studying Human-Computer Interaction
(Springer, Cham, 2019-12-30)
In order to develop better touch and gesture user interfaces, it is important to be able to measure how humans move their hands while interacting with technical devices. The recent advances in high-speed imaging technology ...
Timber Tracing with Multimodal Encoder-Decoder Networks
(Springer, Cham, 2019-08-22)
Tracking timber in the sawmill environment from the raw material (logs) to the end product (boards) provides various benefits including efficient process control, the optimization of sawing, and the prediction of end-product ...
Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound
(Springer, Cham, 2019-08-22)
Transmission electron microscopy (TEM) provides information about Inorganic nanoparticles that no other method is able to deliver. Yet, a major task when studying Inorganic nanoparticles using TEM is the automated analysis ...